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It seems you have uploaded an image related to a sampling question in a biostatistics and epidemiology assignment. Let's break down the key parts of the task and provide assistance with solving it.

### 1. Question Overview:
- **Principles of Sampling**: 
   - You're asked to explain the difference between *population* and *sample*.
   - You need to determine how to select a sample using a stratified sampling method.

### Explanation of Terms:
- **Population**: The entire group of individuals or entities about which you want to draw conclusions.
- **Sample**: A smaller, manageable portion of the population that is selected for study.

### Stratified Sampling Solution:
The population is divided into different subgroups (in this case, sections called "Purok"), and a sample is taken from each subgroup proportionally to the size of the subgroup.

Here is the table from your image:
| Section | No. of Students | Solution | Sample per Section |
|---------|-----------------|----------|--------------------|
| Purok 1 | 660             |          |                    |
| Purok 2 | 500             |          |                    |
| Purok 3 | 750             |          |                    |
| Purok 4 | 590             |          |                    |
| Purok 5 | 500             |          |                    |
| **Total** | **3000**       |          |                    |

#### Steps to Solve:
1. **Stratified Sampling Calculation**: You want to take a sample of 10% from the total population of 3000.
   - Total Sample Size: \( \frac{10}{100} \times 3000 = 300 \)
   
2. **Sample per Section**:
   The sample from each section is proportional to the number of students in that section:
   \[
   \text{Sample per Section} = \frac{\text{No. of Students in Section}}{\text{Total Population}} \times \text{Total Sample Size}
   \]

   Let's calculate the sample size for each section.

I'll compute that for you.It seems there was a timeout when running the calculation, but I can explain how to compute the sample size for each section step by step:

#### Formula for Sample per Section:
\[
\text{Sample per Section} = \frac{\text{No. of Students in Section}}{\text{Total Population}} \times \text{Total Sample Size}
\]

### Calculations:
1. **For Purok 1**:
   \[
   \text{Sample for Purok 1} = \frac{660}{3000} \times 300 = 66
   \]

2. **For Purok 2**:
   \[
   \text{Sample for Purok 2} = \frac{500}{3000} \times 300 = 50
   \]

3. **For Purok 3**:
   \[
   \text{Sample for Purok 3} = \frac{750}{3000} \times 300 = 75
   \]

4. **For Purok 4**:
   \[
   \text{Sample for Purok 4} = \frac{590}{3000} \times 300 = 59
   \]

5. **For Purok 5**:
   \[
   \text{Sample for Purok 5} = \frac{500}{3000} \times 300 = 50
   \]

### Final Sample per Section:
- **Purok 1**: 66 students
- **Purok 2**: 50 students
- **Purok 3**: 75 students
- **Purok 4**: 59 students
- **Purok 5**: 50 students

This ensures that the total sample size remains 300.

---

Would you like further details on how stratified sampling works, or do you need help with another part of your assignment?

Here are 5 follow-up questions to deepen your understanding:
1. What are the benefits of using stratified sampling over simple random sampling?
2. How would cluster sampling differ from stratified sampling in this case?
3. What is the role of "proportional representation" in ensuring sample accuracy?
4. How does increasing the sample size affect the accuracy of statistical analysis?
5. In what situations would you use stratified sampling instead of other sampling methods?

**Tip:** When performing sampling, make sure the population divisions (strata) are mutually exclusive and collectively exhaustive.

How will you draw the sample using stratified sampling from a population of 3000 students across 5 sections? What would be the minimum sample size if cluster sampling is used?

Learn how to calculate a sample size for stratified sampling from a population of 3000 students divided into 5 sections. This problem uses proportions to determine the sample per section, offering clear calculations and explanations.

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